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Greedy and K -Greedy Algorithms for Multidimensional Data Association

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2 Author(s)
Perea, F. ; Stat. & OR Dept., Polytech. Univ. of Valencia, Valencia, Spain ; De Waard, H.W.

The multidimensional assignment (MDA) problem is a combinatorial optimization problem arising in many applications, for instance multitarget tracking (MTT). The objective of an MDA problem of dimension dN is to match groups of d objects in such a way that each measurement is associated with at most one track and each track is associated with at most one measurement from each list, optimizing a certain objective function. It is well known that the MDA problem is NP-hard for d ≥ 3. In this paper five new polynomial time heuristics to solve the MDA problem arising in MTT are presented. They are all based on the semi-greedy approach introduced in earlier research. Experimental results on the accuracy and speed of the proposed algorithms in MTT problems are provided.

Published in:

Aerospace and Electronic Systems, IEEE Transactions on  (Volume:47 ,  Issue: 3 )

Date of Publication:

July 2011

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